Ask a Cycling Coach Podcast - Presented by TrainerRoad

TrainerRoad AI Q&A with CEO Nate Pearson | Ask a Cycling Coach Podcast 569

34 snips
Jan 22, 2026
Guest
Nate Pearson
Nate Pearson, CEO of TrainerRoad and a driving force behind their innovative AI systems, delves into the cutting-edge use of machine learning in cycling training. He explains how TrainerRoad's custom AI predicts workouts and FTP, emphasizing the importance of accuracy over traditional benchmarks. Nate debunks common misconceptions about FTP testing, discusses why more training doesn't always lead to better results, and highlights the dynamic nature of AI-adjusted plans that evolve in real-time based on user performance.
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INSIGHT

FTP Is A Functional, Not Absolute, Benchmark

  • FTP is a functional benchmark, not a precise physiological constant, and people misattribute exact meanings to it.
  • TrainerRoad treats FTP as a consistent, precise scale to calibrate workouts rather than a perfect hourly maximum.
ADVICE

Accept The Detected FTP During Onboarding

  • Accept the AI-detected FTP during onboarding to align future predictions and avoid apple-to-orange comparisons.
  • If you decline detections you lose predictive accuracy and the system can't forecast your future performance correctly.
ADVICE

Space Intense Sessions For Better Adaptation

  • Avoid stacking multiple hard workouts close together unless your schedule forces it, because stacked intensity reduces subsequent performance.
  • Space intense sessions to allow better adaptation and more reliable FTP progression.
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